feat: complete marketing command center with pipeline, UI, and asset generation

- Dashboard with campaign management, asset gallery, and publishing queue - 7-agent pipeline: trend scout, research, scripts, ad creative, video, copy, distribution - Campaign form with screenshot upload, goal picker, platform selection - Campaign detail view with Details/Pipeline/Assets/Chat tabs - Two-set image generation: Gemini AI (NanoBanana MCP) + Canvas Design posters - Remotion video rendering with phone.png frame and real screenshot alignment - honeyDue branding: blue #0079FF, orange #FF9400, Inter font, warm off-white - Asset cards with source badges (Gemini/Canvas/Remotion/Playwright) - Markdown/JSON render endpoint for viewing pipeline outputs as HTML - Settings page with Tavily, Gemini, Postiz, Nextdoor integration management - Claude Chat for campaign feedback loop with streaming SSE - Postiz publishing modal with scheduling - Auth with NextAuth credentials + JWT sessions - SQLite via Prisma with better-sqlite3 adapter Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23 21:05:26 -05:00
parent 6b08cfb73a
commit 66c2bbec8b
113 changed files with 12741 additions and 138 deletions
@@ -0,0 +1,70 @@
+import { tavily } from "@tavily/core";
+import { writeFileSync, mkdirSync } from "fs";
+import { join } from "path";
+
+const OUTPUT_DIR = join(
+  import.meta.dirname,
+  "..",
+  "outputs",
+  "task_management_feature_launch_20260323"
+);
+
+const queries = [
+  "home maintenance app download conversion strategies app store optimization 2026",
+  "homeowner forgot maintenance costly repair stories real examples",
+  "mobile app Instagram Reels ad creative best practices high CTR 2026",
+  "TikTok home improvement property management app ads that convert",
+  "millennial first time homeowner maintenance anxiety solutions apps",
+];
+
+async function runResearch() {
+  const client = tavily({ apiKey: process.env.TAVILY_API_KEY });
+  const results = [];
+
+  for (const query of queries) {
+    console.log(`Researching: "${query}"`);
+    try {
+      const response = await client.search(query, {
+        searchDepth: "advanced",
+        maxResults: 10,
+      });
+      results.push({
+        query,
+        timestamp: new Date().toISOString(),
+        resultCount: response.results.length,
+        results: response.results.map((r) => ({
+          title: r.title,
+          url: r.url,
+          content: r.content,
+          score: r.score,
+        })),
+      });
+      console.log(`  → ${response.results.length} results`);
+    } catch (err) {
+      console.error(`  ✗ Error for "${query}": ${err.message}`);
+      results.push({
+        query,
+        timestamp: new Date().toISOString(),
+        resultCount: 0,
+        results: [],
+        error: err.message,
+      });
+    }
+  }
+
+  const output = {
+    generatedAt: new Date().toISOString(),
+    agent: "marketing-research",
+    campaign: "task_management_feature_launch",
+    queryCount: queries.length,
+    queries,
+    results,
+  };
+
+  mkdirSync(OUTPUT_DIR, { recursive: true });
+  const outPath = join(OUTPUT_DIR, "research_results.json");
+  writeFileSync(outPath, JSON.stringify(output, null, 2));
+  console.log(`\nSaved: ${outPath}`);
+}
+
+runResearch();